Andrew Lin

Cardiologist & researcher trying to better understand coronary plaque through imaging, AI & data science | @CedarsSinai @BartsHospital @MonashHeart

[Andrew Lin @DrAndrewLin]

In an international collaboration, we develop and validate a deep learning-based AI system for plaque quantification, stenosis grading, and risk prediction from #YesCCT
Published today: https://t.co/MUKP5ZddsF
@damini_dey @imagingmedsci @MarcDweck @ProfSNicholls @Steph_Achenbach

[JACC Journals @JACCJournals]

#JACCIMG honors Drs. Márton Kolossváry & Andrew Lin with the Jagat Narula Award for their groundbreaking research on coronary plaque radiomic phenotypes predicting fatal or nonfatal MI! 🎉

📎: https://t.co/vUM1wFziVt

#ACC25 #TheFaceOfCardiology #cvMI #cvImaging @MKolossvary

[JACC Journals @JACCJournals]

Radiomics – seeing deeper into CCT plaque? Radiomics-based precision phenotyping of coronary plaque morphology improved prediction (c-statistic 0.7 to 0.74) of #cvMI by #YesCCT over & above clinical factors & plaque burden in the SCOT-HEART trial. https://t.co/vUM1wFziVt #JACCIMG

[JACC Journals @JACCJournals]

Higher density, lower risk #cvCAD plaque? Higher #CAC density confers a lower risk of future #CVD events with a ~20% lower risk for each standard deviation increase in density in this systemic review and meta-analysis https://t.co/kkMCjQdq1c

#YesCCT #JACCIMG @DrAndrewLin

[Márton Kolossváry @MKolossvary]

Can #radiomic phenotypes help improve MACE prediction beyond plaque burden? Does plaque morphology play a role in long-term outcomes? Long-term SCOT-HEART analysis 👇@DrAndrewLin @damini_dey @imagingmedsci
https://t.co/LsByithuPj

[Andrew Lin @DrAndrewLin]

@SiddharthT22 @BWHCVImaging @harvardmed @mannan_raya @BLilleness @ArthurShiyovich @GucukEsra @jonathan_aun @Monikiii08 @TiagoLinsMD @mdicarli @RonBlankstein @DorbalaSharmila @sanjaydivakaran @ayaz_aghayev @drsumitgupta @Bweber04 @RCardoso_MD @DanielMHuck @VTaqMD Congrats Sid!

[Andrew Lin @DrAndrewLin]

@David_Ouyang @NatureMedicine @CedarsSinai @StanfordMed Congratulations David and team, incredible work!

[Andrew Lin @DrAndrewLin]

@CardioMDPhD @ASPCardio @MonteHeart @DrMichaelShapir @virani_md @damini_dey @danielbermanmd @RonBlankstein @lesleejshaw Congrats Leandro!!

[Andrew Lin @DrAndrewLin]

@MdNitsche @MedUni_Wien @KardiologieWien @CardiacimagingB @LancetDigitalH Fantastic work, congrats Christian!

[Andrew Lin @DrAndrewLin]

@DrMattBurrage @heartfoundation @UQMedicine @TRI_info Congrats Matt!

[Andrew Lin @DrAndrewLin]

@MKolossvary @CircImaging Congrats Marton!

[Bruno Lima @BrunoLimaMDPhD]

Dr Andrew Lin (@DrAndrewLin) from @MonashUni showing that inflammation inhibits local adipogenesis in pericoronary adipose tissue (PCAT) and this can be detected by AI-driven🤖algorithms on #YesCCT as an increase in CT attenuation of PCAT which improves prognosis #SCCT2023

[Andrew Lin @DrAndrewLin]

@pieszek Congrats Konrad, fantastic work!

[David Ouyang, MD @David_Ouyang]

We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in @nature! @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed

https://t.co/n7ntvPELUm

1/n

[Andrew Lin @DrAndrewLin]

@David_Ouyang @Nature @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed Congratulations David on this important work!

[Andrew Lin @DrAndrewLin]

@NayAungMD @The_MRC @QMULWHRI @BartsHospital Congratulations Nay!

[Andrew Lin @DrAndrewLin]

@damini_dey Congratulations Damini!

[Andrew Lin @DrAndrewLin]

@MKolossvary @CircImaging Congrats Marton!

[Andrew Lin @DrAndrewLin]

@KegJM @moragjyoung Congratulations Kegan!

[Andrew Lin @DrAndrewLin]

@cshenoy3 @damini_dey @AllisonGHaysMD Thank you all for the great discussion! #CircImgJC

[Andrew Lin @DrAndrewLin]

@AllisonGHaysMD @damini_dey @cshenoy A6. The trial would then assess whether the ML score influences referral for downstream testing and revascularization, and ultimately patient outcomes. (2/2) #CircImgJC

[Andrew Lin @DrAndrewLin]

@AllisonGHaysMD @damini_dey @cshenoy A6. One could design a pragmatic clinical trial in which patients are randomized to a group in which clinicians have access to the ML score versus a control group which is usual care. (1/2) #CircImgJC